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Research Article

Seismic performance of cold-formed thin-walled C-shaped steel composite wall with fireproof straw boards cladding

, , , &
Pages 278-294 | Received 29 Aug 2023, Accepted 14 Nov 2023, Published online: 23 Nov 2023
 

ABSTRACT

In order to study the seismic performance of cold-formed, thin-walled C-shaped steel composite wall, a set of cold-formed thin-walled C-shaped steel skeleton structure and a set of composite wall covered with fireproof straw boards on both sides were tested with a low cyclic alternative load. The seismic performance indexes, such as bearing capacity characteristic value, lateral stiffness, ductility coefficient, energy dissipation coefficient and stiffness degradation, were analysed by obtaining the backbone curves of each group of specimens. The effects of fireproof straw boards on the seismic performance of the composite wall were compared, and a mechanical analysis model of the cold-formed thin-walled C-shaped steel composite wall was established by using ANSYS/structural finite element software. The results show that the damage patterns, backbone curves and capacity characteristic values of the finite element model are in general agreement with the tests. The bearing capacity and lateral stiffness of the light steel skeleton structure without boards is very low, while the bearing capacity of the composite wall with straw boards on both sides is significantly increased. The lateral stiffness increased by 10.76%, the ductility coefficient increased by 27.34% and the energy dissipation coefficient decreased by 45.8%.

Acknowledgments

The authors thank EditorWorld (www.editorworld.com) for its linguistic assistance during the preparation of this manuscript.This work is supported by National key R&D Program of China (2019YFD1101003).

Disclosure statement

No potential conflict of interest was reported by the author(s).

Data availability statement

The data presented in this study are available on request from the corresponding author. The data are not publicly available for confidentiality reasons.

Additional information

Funding

The work was supported by the National key R&D Program of China [2019YFD1101003].

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